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Research article
Spatial Distribution and Determinant Factors of Intimate Partner Violence Among Reproductive age Group Women in Ethiopia; Generalized Structural Equation Modeling
Biruk Shalmeno Tusa
Haramaya University College of Health and Medical Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0003-4362-0851
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Intimate Partner Violence (IPV) is the most serious and pervasive yet under recognized human rights violation in the world as well as in Ethiopia. The objective of this study was to find the spatial distribution of IPV and its determinant factors in Ethiopia.
Methods: Secondary data analysis was conducted among 2,687 reproductive age group women (15–49 years). The distribution of IPV across the country was observed by ArcGIS software. In SaTScan software, the Bernoulli model was fitted by Kulldorff methods to identify the purely spatial clusters of IPV. Generalized Structural Equation Model (GSEM) was used to determine factors associated with each domain of IPV (physical, emotional & sexual violence).
Result: The spatial distribution of IPV was found to be clustered in Ethiopia with Global Moran’s I 0.09 (p < 0.001) and the highest IPV cluster was observed in Oromia (p < 0.001), Somali (p < 0.001) and Southern Nation and Nationality and Peoples (SNNP) (p < 0.001) regions . Watching television and not having attitudes toward wife beating were negatively associated with physical violence. Being richest and nonsmoker were inversely associated with emotional violence. The odds of experiencing sexual violence were increased among pregnant and wife of uneducated husband/partner. Women’s decision-making autonomy and husband/partner drinking alcohol have positive and negative association with all domains of IPV respectively.
Conclusions: There was a significant clustering of IPV in Ethiopia and the highest IPV cluster was observed in Oromia, Somali and SNNP regions. Being richest, watching television, not having attitudes toward wife beating, women’s decision autonomy and husband’s/partner’s high education and non-alcohol drinker status were negatively associated with IPV. The likelihood of experiencing IPV was also increased among smoker and pregnant women. We recommend that improving the economic status of the household and power of women's decision autonomy, increasing community awareness about the consequences of IPV with particular emphasis in Oromia, Somali and SNNP regions.
Keywords
Intimate partner violence, spatial analysis, generalized structural equation modeling, Ethiopia
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This is a preprint. It has not completed peer review.
Research article
Spatial Distribution and Determinant Factors of Intimate Partner Violence Among Reproductive age Group Women in Ethiopia; Generalized Structural Equation Modeling
Biruk Shalmeno Tusa
Haramaya University College of Health and Medical Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0003-4362-0851
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 22 Jun, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Intimate Partner Violence (IPV) is the most serious and pervasive yet under recognized human rights violation in the world as well as in Ethiopia. The objective of this study was to find the spatial distribution of IPV and its determinant factors in Ethiopia.
Methods: Secondary data analysis was conducted among 2,687 reproductive age group women (15–49 years). The distribution of IPV across the country was observed by ArcGIS software. In SaTScan software, the Bernoulli model was fitted by Kulldorff methods to identify the purely spatial clusters of IPV. Generalized Structural Equation Model (GSEM) was used to determine factors associated with each domain of IPV (physical, emotional & sexual violence).
Result: The spatial distribution of IPV was found to be clustered in Ethiopia with Global Moran’s I 0.09 (p < 0.001) and the highest IPV cluster was observed in Oromia (p < 0.001), Somali (p < 0.001) and Southern Nation and Nationality and Peoples (SNNP) (p < 0.001) regions . Watching television and not having attitudes toward wife beating were negatively associated with physical violence. Being richest and nonsmoker were inversely associated with emotional violence. The odds of experiencing sexual violence were increased among pregnant and wife of uneducated husband/partner. Women’s decision-making autonomy and husband/partner drinking alcohol have positive and negative association with all domains of IPV respectively.
Conclusions: There was a significant clustering of IPV in Ethiopia and the highest IPV cluster was observed in Oromia, Somali and SNNP regions. Being richest, watching television, not having attitudes toward wife beating, women’s decision autonomy and husband’s/partner’s high education and non-alcohol drinker status were negatively associated with IPV. The likelihood of experiencing IPV was also increased among smoker and pregnant women. We recommend that improving the economic status of the household and power of women's decision autonomy, increasing community awareness about the consequences of IPV with particular emphasis in Oromia, Somali and SNNP regions.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5